How to overcome unstructured data chaos with scalable governance

This post details how to overcome unstructured data chaos with scalable governance by outlining a five-step process: 1. Understanding unstructured data and its challenges. 2. Building an inventory and defining a light taxonomy. 3. Automating enrichment and indexing for discoverability using ML techniques (OCR, entity extraction, embeddings) and combining inverted indexes with vector stores for RAG. 4. Codifying governance policies into automated checks (policy as code) for continuous enforcement. 5. Assigning stewardship and implementing role-based access control (RBAC/ABAC) for accountability and least privilege. It also emphasizes continuous monitoring, auditing, and improvement.